In the present work, we develop one such algorithm that uses an empirical estimation function combining both Sentinel-2 MSI imagery and a land-cover ...

Jul 21, 2024 · This paper describes an approach to forest growing stock volume (GSV) estimation based on remotely sensed optical data in red and near-infrared ...

Results show that GSV can be estimated with an RMS uncertainty of approximately 35–55%, comparable to other spaceborne estimates of low-GSV forest areas.

A new empirical method in which the primary remote sensing data source is a single summer Sentinel-2 MSI image, augmented by land-cover classification based ...

Here we develop a new empirical method in which the primary remote sensing data source is a single summer Sentinel-2 MSI image, augmented by land-cover ...

Nov 8, 2021 · Here we develop a new empirical method in which the primary remote sensing data source is a single summer Sentinel-2 MSI image, augmented by ...

Here we develop a new empirical method in which the primary remote sensing data source is a single summer Sentinel-2 MSI image, augmented by land-cover ...

Sep 15, 2021 · Several approaches have been developed: - most promising methods incorporate 3D data from UAVs, spaceborne lasers, InSAR,.

Estimation of Boreal Forest Growing Stock Volume in Russia from Sentinel-2 MSI and Land Cover Classification. Growing stock volume (GSV) is a fundamental ...

Growing stock volume (GSV) is a fundamental parameter of forests, closely related to the above-ground biomass and hence to carbon storage. Estimation of GSV ...